| |
| """Submission format checker (no labels involved). |
| |
| Usage: python validate.py [submission.csv] |
| |
| Checks column layout, patient coverage, value range and monotonicity, then |
| appends one JSON line per call to ./validate_log.jsonl. Passing this check |
| means your file is GRADABLE — it says nothing about how good the scores are. |
| """ |
|
|
| import hashlib |
| import json |
| import sys |
| import time |
| from pathlib import Path |
|
|
| import numpy as np |
| import pandas as pd |
|
|
| HERE = Path(__file__).resolve().parent |
| TOL = 1e-6 |
|
|
|
|
| def sha256(path): |
| h = hashlib.sha256() |
| with open(path, "rb") as f: |
| for chunk in iter(lambda: f.read(1 << 16), b""): |
| h.update(chunk) |
| return h.hexdigest() |
|
|
|
|
| def check(path: Path): |
| issues = [] |
| try: |
| sub = pd.read_csv(path) |
| except Exception as e: |
| return [f"cannot read CSV: {e}"] |
| grid_cols = pd.read_csv(HERE / "time_grid.csv")["column"].tolist() |
| expected_cols = ["patient_id"] + grid_cols |
| if list(sub.columns) != expected_cols: |
| return [ |
| f"columns mismatch: expected patient_id + the {len(grid_cols)} columns " |
| f"named in time_grid.csv, got {len(sub.columns)} columns" |
| ] |
| expected_ids = set(pd.read_csv(HERE / "test_features.csv")["patient_id"].tolist()) |
| ids = sub["patient_id"].tolist() |
| if len(ids) != len(set(ids)): |
| issues.append("duplicate patient_id rows") |
| if set(ids) != expected_ids: |
| issues.append( |
| f"patient_id set mismatch: {len(expected_ids - set(ids))} missing, " |
| f"{len(set(ids) - expected_ids)} unexpected" |
| ) |
| vals = sub[expected_cols[1:]].to_numpy(dtype=float) |
| if not np.isfinite(vals).all(): |
| issues.append("non-finite values (NaN/inf)") |
| else: |
| if vals.min() < -TOL or vals.max() > 1 + TOL: |
| issues.append(f"values outside [0,1]: min={vals.min():.4g} max={vals.max():.4g}") |
| n_viol = int((np.diff(vals, axis=1) > TOL).sum()) |
| if n_viol: |
| issues.append(f"not non-increasing: {n_viol} increasing steps") |
| return issues |
|
|
|
|
| def main(): |
| target = Path(sys.argv[1]) if len(sys.argv) > 1 else HERE / "submission.csv" |
| if not target.exists(): |
| print(f"FAIL: {target} not found") |
| sys.exit(1) |
| issues = check(target) |
| entry = { |
| "ts": time.strftime("%Y-%m-%dT%H:%M:%S"), |
| "file": str(target.name), |
| "sha256": sha256(target), |
| "valid": not issues, |
| "issues": issues, |
| } |
| with open(HERE / "validate_log.jsonl", "a") as f: |
| f.write(json.dumps(entry) + "\n") |
| if issues: |
| print("FAIL:") |
| for i in issues: |
| print(f" - {i}") |
| sys.exit(1) |
| print("OK: submission format is valid and gradable") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
